wehub-resource-sync
60 lines
2.0 KiB
C++
60 lines
2.0 KiB
C++
// Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include "paddle/phi/kernels/reduce_as_kernel.h"
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#include "paddle/phi/core/device_context.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/cpu/reduce.h"
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#include "paddle/phi/kernels/funcs/common_shape.h"
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#include "paddle/phi/kernels/reduce_sum_kernel.h"
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namespace phi {
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template <typename T, typename Context>
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void ReduceAsKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& target,
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DenseTensor* out) {
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auto reduce_dim = funcs::GetReduceDims(x, target);
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if (reduce_dim.size() != 0) {
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MetaTensor meta_out(out);
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SumInferMeta(x, reduce_dim, out->dtype(), false, &meta_out);
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SumKernel<T, Context>(dev_ctx, x, reduce_dim, out->dtype(), false, out);
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out->Resize(target.dims());
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} else {
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dev_ctx.template Alloc<T>(out);
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Copy(dev_ctx, x, dev_ctx.GetPlace(), false, out);
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}
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}
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} // namespace phi
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PD_REGISTER_KERNEL(reduce_as,
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CPU,
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ALL_LAYOUT,
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phi::ReduceAsKernel,
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bool,
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float,
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double,
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phi::float16,
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phi::bfloat16,
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int16_t,
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int,
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int64_t,
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uint8_t,
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int8_t,
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phi::complex64,
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phi::complex128) {}
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